QuasarDB
Circuit mix
Where QuasarDB shows up, by circuit. Each event counts once: 2 if it sponsored, 1 if it only had speakers. Hover a segment for the conference.
- Software engineering & trading tech67%4 events
- Enterprise, analyst & AI expos33%1 event
Presence by conference and year
Each cell is one conference in one year. Fill shows the company sponsored, shaded by its best tier that year; a dot means it had speakers there. Hover for details; click to open the event.
- Title
- Platinum
- Gold
- Silver
- Bronze
- Other / unlabeled tier
- Had speakers
| Conference | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | 2027 | 2028 |
|---|---|---|---|---|---|---|---|---|---|---|
| STAC Summit | ||||||||||
| Big Data LDN |
Activity by year
Three measures on one year axis; each panel has its own scale. 2027, 2028 is still mostly ahead, so its bars are faded and incomplete.
Conferences present at
Distinct conferences each year, split by whether the company sponsored or only had speakers there.
- Sponsored
- Speakers only
Distinct speakers
People from this company on a program that year, each counted once.
Sponsorships by tier
Sponsorship rows per year (one per event and listing), stacked by normalized tier.
- Other / unlabeled
Where they've grown or pulled back
DownNothing recorded in 2026; sponsored 1 conference in 2019.
Counted per conference. 2026 is the latest year whose conferences have mostly happened. Tiers use the best tier each year; swatches show the path, oldest first. A conference counts as pulled out only when a later event published a complete sponsor list, since most events don’t say whether their list is complete.
Once or on and off 1
No clear direction, or a gap we can’t confirm because later sponsor lists are incomplete.
- Big Data LDNonce, 2019, tier not listed
Not on the company map: lookalikes are computed only for companies present at four or more conferences.
Often sponsors alongside
Companies that sponsored the same events, by number of shared events (out of 1 this company sponsored).
| Company | Shared events | Share |
|---|---|---|
| Actian | 1 | 100% |
| Aerospike | 1 | 100% |
| AgensGraph | 1 | 100% |
| Algorithmia | 1 | 100% |
| Alteryx | 1 | 100% |
| Altis Consulting | 1 | 100% |
| ArangoDB | 1 | 100% |
| Arrow | 1 | 100% |
| ASG Technologies | 1 | 100% |
| Ataccama | 1 | 100% |
| Attunity | 1 | 100% |
| Automation Anywhere | 1 | 100% |
| BDB-Decision Platform | 1 | 100% |
| BrightTALK | 1 | 100% |
| Cloudera | 1 | 100% |
Sponsorships 1
| Event | Date | Place | Tier as listed | Normalized tier |
|---|---|---|---|---|
| Big Data LDN 2019 | Nov 13–14, 2019 | London, United Kingdom | Exhibitor | Unlabeled |
Speakers 6
| Speaker | Event | Role | Talk | Links |
|---|---|---|---|---|
| Benjamin Filippi | STAC Summit London, Fall 2019 | speaker | Drinking from the firehose: streaming ingest benchmarks | — |
| Benjamin Filippi | STAC Summit London, Fall 2019 | speaker | Simpler historical updates management | — |
| Edouard Alligand | STAC Summit New York, Fall 2019 | speaker | Simpler historical updates management | — |
| Edouard Alligand | STAC Summit New York, Fall 2019 | speaker | Drinking from the firehose: streaming ingest benchmarks | — |
| Edouard Alligand | STAC Summit Chicago, Spring 2019 | speaker | Effective, lossless, and fast compression for timeseries | — |
| Jean-Claude Tagger | STAC Summit London, Spring 2019 | speaker | Effective, lossless, and fast compression for timeseries | — |